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ORCIDOmar Y. Al-Jarrah
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2020 – today
- 2024
[j11]Omar Y. Al-Jarrah, Ahmed S. Shatnawi
, Mohammad M. Shurman, Omar A. Ramadan, Sami Muhaidat:
Exploring Deep Learning-Based Visual Localization Techniques for UAVs in GPS-Denied Environments. IEEE Access 12: 113049-113071 (2024)- [j10]Baha' A. Alsaify, Mahmoud M. Almazari, Rami Alazrai, Omar Y. Al-Jarrah, Walid Al Zibideh:
Wi-Fi Signals for Passive Human Identification: A Study of Three Activities. IEEE Access 12: 113087-113098 (2024) - 2022
- [j9]Sajjad Mozaffari, Omar Y. Al-Jarrah, Mehrdad Dianati, Paul A. Jennings, Alexandros Mouzakitis:
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review. IEEE Trans. Intell. Transp. Syst. 23(1): 33-47 (2022) - 2020
- [c3]Jakub Mozaryn, Andrzej W. Ordys, Adam Stec, Konrad Bogusz, Omar Y. Al-Jarrah, Carsten Maple:
Design and Development of Industrial Cyber-Physical System Testbed. KKA 2020: 725-735
2010 – 2019
- 2019
- [j8]Omar Y. Al-Jarrah, Carsten Maple, Mehrdad Dianati, David Oxtoby, Alex Mouzakitis:
Intrusion Detection Systems for Intra-Vehicle Networks: A Review. IEEE Access 7: 21266-21289 (2019) - [j7]Huda S. Goian, Omar Y. Al-Jarrah, Sami Muhaidat, Yousof Al-Hammadi, Paul D. Yoo, Mehrdad Dianati:
Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey. IEEE Access 7: 27699-27719 (2019) - [j6]Eduardo Arnold, Omar Y. Al-Jarrah, Mehrdad Dianati, Saber Fallah, David Oxtoby, Alex Mouzakitis:
A Survey on 3D Object Detection Methods for Autonomous Driving Applications. IEEE Trans. Intell. Transp. Syst. 20(10): 3782-3795 (2019) - [c2]Eduardo Arnold, Omar Y. Al-Jarrah, Mehrdad Dianati, Saber Fallah, David Oxtoby, Alex Mouzakitis:
Cooperative Object Classification for Driving Applications. IV 2019: 2484-2489 - [i2]Sajjad Mozaffari, Omar Y. Al-Jarrah, Mehrdad Dianati, Paul A. Jennings, Alexandros Mouzakitis:
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review. CoRR abs/1912.11676 (2019) - 2018
- [j5]Omar Y. Al-Jarrah, Yousof Al-Hammadi, Paul D. Yoo, Sami Muhaidat, Mahmoud Al-Qutayri:
Semi-supervised multi-layered clustering model for intrusion detection. Digit. Commun. Networks 4(4): 277-286 (2018) - 2017
- [j4]Omar Y. Al-Jarrah, Yousof Al-Hammadi, Paul D. Yoo, Sami Muhaidat:
Multi-Layered Clustering for Power Consumption Profiling in Smart Grids. IEEE Access 5: 18459-18468 (2017) - 2016
- [j3]Omar Y. Al-Jarrah, Omar Alhussein, Paul D. Yoo, Sami Muhaidat, Kamal Taha, Kwangjo Kim:
Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection. IEEE Trans. Cybern. 46(8): 1796-1806 (2016) - 2015
- [j2]Omar Y. Al-Jarrah, Paul D. Yoo, Sami Muhaidat, George K. Karagiannidis, Kamal Taha:
Efficient Machine Learning for Big Data: A Review. Big Data Res. 2(3): 87-93 (2015) - [j1]Omar Y. Al-Jarrah, Paul D. Yoo, Kamal Taha, Sami Muhaidat, Abdallah Shami, Nazar Zaki:
Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 763-769 (2015) - [i1]O. Y. Al-Jarrah, Paul D. Yoo, Sami Muhaidat, George K. Karagiannidis, Kamal Taha:
Efficient Machine Learning for Big Data: A Review. CoRR abs/1503.05296 (2015) - 2014
- [c1]O. Y. Al-Jarrah, Amna Siddiqui, M. Elsalamouny, Paul D. Yoo, Sami Muhaidat, Kwangjo Kim:
Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection. ICDCS Workshops 2014: 177-181
Coauthor Index
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